Exercise energy expenditure estimation based on acceleration data using the linear mixed model

2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008

Volumn , Issue , 2008, Pages 131-136

  Haapalainen, Eija ^a   Laurinen, Perttu ^a   Siirtola, Pekka ^a   Röning, Juha ^a   Kinnunen, Hannu ^b   Jurvelin, Heidi ^b  

^a UNIVERSITY OF OULU   (Finland)

^b Polar Electro Oy   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION; ACCELEROMETERS; HEALTH; INFORMATION USE; NONMETALS; OXYGEN; WALKING AIDS;

ACCELERATION SIGNALS; ENERGY EXPENDITURE; EXPERIMENTAL DATA; GAS ANALYZERS; INFORMATION RE-USE; INTERNATIONAL CONFERENCES; LINEAR MIXED MODEL; NEW ALGORITHM; NEW APPROACHES; NOVEL ALGORITHMS; OXYGEN CONSUMPTIONS; PHYSICAL ACTIVITIES; SIMULTANEOUS MEASUREMENTS; VARIANCE FEATURE;

ESTIMATION;

EID: 51949099647     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2008.4583018     Document Type: Conference Paper

References (12)

1. S. Blair, H. Kohl, N. Gordon, and R. Paffenbarger. How much physical activity is good for health? Annu Rev Public Health, 13:99-126, 1992.
2. C. Bouten, A. Sauren, M. Verduin, and J. Janssen. Effects of placement and orientation of body-fixed accelerometers on the assessment of energy expenditure during walking. Med Biol Eng Comput, 35(1):50-6, 1997.
3. C. Bouten, K. Westerterp, M. Verduin, and J. Janssen. Assessment of energy expenditure for physical activity using a triaxial accelerometer. Med Sci Sports Exerc, 26:1516-1523, 1994.
4. K. Chen and D. B. Jr. The technology of accelerometry-based activity monitors: Current and future. Med Sci Sports Exerc, 37(11 Suppl):S490-S500, 2005.
5. Y. Hara, M. Yoshida, and K. Minato. New evaluation method of the physical activity by an acceleration sensor. volume 2, pages 1712-1715, 17-21 Sept. 2003.
6. R. LaPorte and H. M. C. Caspersen. Assessment of physical activity in epidemiologic research: problems and prospects. Public Health Rep, 100(2):131-46, 1985.
7. M. Mathie, A. Coster, N. Lovell, and B. Celler. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiological Measurement, 25(2):R1-R20, 2004.
8. M. Rothney, M. Neumann, A. Beziat, and K. Chen. An artificial neural network model of energy expenditure using non-integrated acceleration signals. J Appl Physiol, 103:1419-1427, 2007.
9. P. Terrier, K. Aminian, and Y. Schutz. Can accelerometry accurately predict the energy cost of uphill/downhill walking? Ergonomics, 44(1):48-62, 2001.
10. R. Troiano. Translating accelerometer counts into energy expenditure: advancing the quest. J Appl Physiol, 100(4):1107-1108, 2006.
11. G. Verbeke and G. Molenberghs. Linear Mixed Models for Longitudinal Data. Springer, New York, 2000.
12. G. Welk, J. Schaben, and J. M. Jr. Reliability of accelerometry-based activity monitors: a generalizability study. Med Sci Sports Exerc, 36(9):1637-45, 2004.